Top Software Engineer Jobs

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

The Forward Deployed Engineer will embed within customer teams to solve complex business problems, drive AI adoption, and provide feedback to the Product team.

Lead Software & AI Engineer responsible for designing, developing, and deploying software solutions integrating AI/ML. Requires extensive experience in cloud-native development and DevSecOps.

Own and architect the frontend foundation for Handshake AI Enterprise: establish component system, design tokens, engineering patterns, shared libraries, and ship production-grade UIs while collaborating with AI and platform teams to ensure scalable, maintainable, high-performance enterprise deployments.

Design, implement, and operate large-scale Ads infrastructure on Azure. Build and optimize data ingestion, storage, and streaming pipelines; ship new ad-product features; apply ML/AI to improve ad quality; analyze data for technical design; and handle live-site escalations with customers.

Build frontend experiences for autonomous AI agents, including conversational interfaces, memory and context views, live run timelines, approval flows, worker configuration, and reusable agentic components. Develop real-time interfaces using streaming, WebSockets, and server-sent events while managing complex client state, reconnection, partial results, and failure recovery. Collaborate with backend and agent engineers to shape APIs and deliver fast, accessible, polished products.

Build production-ready AI-native applications, agentic workflows, cloud infrastructure, data platforms, integrations, and DevOps systems supporting nuclear engineering workflows. Responsibilities may span front-end/full-stack development, agentic AI, data and systems integration, or platform infrastructure. The role partners with systems engineering, licensing, and quality teams, documents architectures, maintains development and QA standards, and supports reliable, compliant delivery in a hybrid environment.

Develop and maintain full-stack web applications using C#/.NET, ASP.NET, SQL Server, JavaScript, React or Angular, Azure, and microservices. Responsibilities include architecture, requirements analysis, coding, testing, debugging, deployment, production support, technical documentation, and troubleshooting across on-premises and cloud environments. The role also applies LLM coding agents, agentic coding, and prompt engineering while collaborating with business users, analysts, QA teams, and vendors.

Build and evolve ngrok’s AI Gateway, including real-time AI traffic handling, policy enforcement, rate limits, usage caps, access rules, token tracking, observability, and explainability. Design customer-focused gateway abstractions and collaborate with Gateway, Customer Data, Platform, product, and design teams to align enforcement, usage, and billing signals. The role involves full-stack development using primarily Go and TypeScript in a production AWS, Kubernetes, and distributed-systems environment.

Own the design-for-manufacturing software layer of the Matter Compiler CAM stack. Develop computational geometry algorithms, manufacturability constraints, layout and retention logic, physical process models, validation systems, and production knowledge bases. Collaborate with AI, modeling, design, and process engineering teams to translate manufacturing expertise into auditable, testable code and validate results against fab runs.

Develop and maintain full-stack web applications, including React-based interfaces, backend services, RESTful APIs, and Oracle PL/SQL solutions. Lead application analysis, design, development, testing, deployment, troubleshooting, security, and operational support. Collaborate with technology teams and business stakeholders, apply Agile practices, use CI/CD tools, leverage AI coding assistants, assess risks, and mentor junior analysts while operating with limited supervision.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

Develop, test, deploy, and maintain .NET-centric web applications using C#, Angular 17+, and Azure. Build and consume REST APIs, work with SQL Server, source control, CI/CD pipelines, and collaborate on code reviews, debugging, performance optimization, and third-party integrations.

Design, build, and operate a secure, high-performance agent sandboxing platform. Ensure isolation, reproducibility, and efficient resource use across containerized/virtualized environments. Improve developer experience (APIs, client SDKs, docs), debug and monitor production incidents, lead architecture and end-to-end projects, and collaborate with internal teams to shape roadmap and tooling.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

The Staff Software Engineer will lead the development of cloud-native AI platforms, optimizing AI workload deployment in Kubernetes environments and collaborating with cross-functional teams.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

Lead design, build, and operate backend agentic systems that analyze large-scale time-series telemetry. Own product from customer discovery through shipping. Implement APIs, distributed job execution on Kubernetes, sandboxed code execution, context/memory management, evaluation suites, and observability while integrating frontier models and scaling agent workloads.

Build and operate backend systems for agentic AI that analyze large-scale time-series telemetry. Own product features from customer discovery through deployment: APIs, distributed job execution on Kubernetes, sandboxed code execution, context management, observability, model integration, and evaluation suites.

Build and own full-stack features for core user journeys, shipping backend APIs, async workflows, and frontend experiences. Contribute to architecture, write well-tested maintainable code, partner with product and design, and proactively address technical debt and performance issues.

Build high-performance, scalable React+TypeScript web applications for payment experiences. Design reusable UI components and optimize frontend performance while collaborating with cross-functional teams on architecture, testing, accessibility, and product delivery.

Architect and implement a cross-platform design product across client apps, cloud services, and device connectivity. Champion AI-native engineering practices, drive end-to-end architecture and ADRs, ensure security/reliability/observability, own delivery and release health, and mentor engineering leaders while partnering cross-functionally across product, design, firmware, and security.

The Technical Lead will design, build, and modernize IVR and Voice Bot platforms, providing technical ownership and leadership in a hands-on role within the Contact Center Technology department.

The Technical Lead will oversee software architecture, mentoring teams and leading the design and implementation of AI-augmented enterprise software solutions.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.